Update persistent_entropy.py

Author: EduPH

persim/persistent_entropy.py

@@ -73,14 +73,11 @@ def persistent_entropy(
     ps = []
     for dgm in dgms:
         l = dgm[:, 1] - dgm[:, 0]
-        if all(l>0):
-            L = np.sum(l)
-            p = l / L
-            E = -np.sum(p * np.log(p))
-            if normalize == True:
-                E = E / np.log(len(l))
-            ps.append(E)
-        else:
-            raise Exception("A bar is born after dying")
+        L = np.sum(l)
+        p = l / L
+        E = -np.sum(p * np.log(p))
+        if normalize == True:
+            E = E / np.log(len(l))
+        ps.append(E)
 
     return np.array(ps)